Skip to main navigation Skip to search Skip to main content

Analysis of Craniocardiac Malformations in Xenopus using Optical Coherence Tomography

  • Engin Deniz
  • , Stephan Jonas
  • , Michael Hooper
  • , John N. Griffin
  • , Michael A. Choma
  • , Mustafa K. Khokha
  • Yale University Medical School
  • RWTH Aachen University
  • Yale University

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Birth defects affect 3% of children in the United States. Among the birth defects, congenital heart disease and craniofacial malformations are major causes of mortality and morbidity. Unfortunately, the genetic mechanisms underlying craniocardiac malformations remain largely uncharacterized. To address this, human genomic studies are identifying sequence variations in patients, resulting in numerous candidate genes. However, the molecular mechanisms of pathogenesis for most candidate genes are unknown. Therefore, there is a need for functional analyses in rapid and efficient animal models of human disease. Here, we coupled the frog Xenopus tropicalis with Optical Coherence Tomography (OCT) to create a fast and efficient system for testing craniocardiac candidate genes. OCT can image cross-sections of microscopic structures in vivo at resolutions approaching histology. Here, we identify optimal OCT imaging planes to visualize and quantitate Xenopus heart and facial structures establishing normative data. Next we evaluate known human congenital heart diseases: cardiomyopathy and heterotaxy. Finally, we examine craniofacial defects by a known human teratogen, cyclopamine. We recapitulate human phenotypes readily and quantify the functional and structural defects. Using this approach, we can quickly test human craniocardiac candidate genes for phenocopy as a critical first step towards understanding disease mechanisms of the candidate genes.

Original languageEnglish
Article number42506
JournalScientific Reports
Volume7
DOIs
StatePublished - 14 Feb 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Analysis of Craniocardiac Malformations in Xenopus using Optical Coherence Tomography'. Together they form a unique fingerprint.

Cite this